RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science

Detalhes bibliográficos
Autor(a) principal: Lima,Nathalia B.D.
Data de Publicação: 2019
Outros Autores: Rocha,Gerd B., Freire,Ricardo O., Simas,Alfredo M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Chemical Society (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683
Resumo: In this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems.
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spelling RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials ScienceRM1Recife model 1semiempirical methodscomputational chemistryquantum chemistryIn this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems.Sociedade Brasileira de Química2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683Journal of the Brazilian Chemical Society v.30 n.4 2019reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0103-5053.20180239info:eu-repo/semantics/openAccessLima,Nathalia B.D.Rocha,Gerd B.Freire,Ricardo O.Simas,Alfredo M.eng2019-03-12T00:00:00Zoai:scielo:S0103-50532019000400683Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2019-03-12T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
title RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
spellingShingle RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
Lima,Nathalia B.D.
RM1
Recife model 1
semiempirical methods
computational chemistry
quantum chemistry
title_short RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
title_full RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
title_fullStr RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
title_full_unstemmed RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
title_sort RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
author Lima,Nathalia B.D.
author_facet Lima,Nathalia B.D.
Rocha,Gerd B.
Freire,Ricardo O.
Simas,Alfredo M.
author_role author
author2 Rocha,Gerd B.
Freire,Ricardo O.
Simas,Alfredo M.
author2_role author
author
author
dc.contributor.author.fl_str_mv Lima,Nathalia B.D.
Rocha,Gerd B.
Freire,Ricardo O.
Simas,Alfredo M.
dc.subject.por.fl_str_mv RM1
Recife model 1
semiempirical methods
computational chemistry
quantum chemistry
topic RM1
Recife model 1
semiempirical methods
computational chemistry
quantum chemistry
description In this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.21577/0103-5053.20180239
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Journal of the Brazilian Chemical Society v.30 n.4 2019
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
institution SBQ
reponame_str Journal of the Brazilian Chemical Society (Online)
collection Journal of the Brazilian Chemical Society (Online)
repository.name.fl_str_mv Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv ||office@jbcs.sbq.org.br
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